Wits Innovation Lab - MLOps Engineer in Bombay, भारत
Wits Innovation Lab
Bombay, भारत
Responsibilities:- Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models.- Collaborate with data scientists and engineers to understand model requirements and optimize deployment processes.- Automate the training, testing and deployment processes for machine learning models.- Continuously monitor and maintain models in production, ensuring optimal performance, accuracy and reliability.- Implement best practices for version control, model reproducibility and governance.- Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness.- Troubleshoot and resolve issues related to model deployment and performance.- Ensure compliance with security and data privacy standards in all MLOps activities.- Keep up to date with the latest MLOps tools, technologies and trends.- Provide support and guidance to other team members on MLOps https://jobeax.com/link/wJIgo45kO3tINlTo skills and experience:- 3 - 10 years of experience in MLOps, DevOps or a related field.- Bachelors degree in computer science, Data Science or a related field.- Strong understanding of machine learning principles and model lifecycle management.- Experience in Jenkins pipeline development.- Experience in automation scripting. (ref:hirist.tech)
Lead Full Stack Engineer, EDT Innovation Lab The ED&T Innovation Lab is Stryker’s one front door for internal, non-commercial problems across our five business units and central functions. We run focused prototype sprints on real problems with real users and approved data, show progress in weekly demos and decide on evidence: ...
Roninfotech Services is seeking an experienced MLOps Engineer for a high-impact, client-facing role. You will deploy, monitor, and maintain machine learning models at scale, collaborating closely with data science and engineering teams. Key Responsibilities - Deploy machine learning models, including customer churn and ...
MLOps Engineer Summary We are seeking a skilled MLOps Engineer to join our IT Services team, where you will play a pivotal role in bridging the gap between data science and production environments. This position is dedicated to streamlining the deployment lifecycle of machine learning models, ensuring they are robust, scalable, ...
... including design specifications, API documentation, data models, data flow diagrams, and user manuals. Mentor junior engineers and promote MLOps and software engineering best practices across the team. What You Will Need: Minimum Qualifications · Bachelor's degree or equivalent in Computer Science, Engineering, or a related ...
... architectures and deployment procedures, and follow reproducibility best https://jobeax.com/link/E00qLmZDpXHJjFEm Candidate Profile: - Strong hands-on experience as an MLOps Engineer deploying ML models in production.- Proficient in Python and PySpark.- Working experience with Snowflake and/or Databricks.- Experience deploying models ...
... across all cloud https://jobeax.com/link/1ji4Po3CGMdxF3ES Skills and Qualifications:- Experience: Minimum 4 years of experience in DevOps or Site Reliability Engineering.- Proficiency with Git version control and collaborative workflows.- Hands-on experience with CI/CD tools like Jenkins, GitLab CI/CD, CircleCI, etc.- Experience ...
... WhitefieldExperience : 7 - 10 YearsEmployment Type : Full-timeRole Overview : We are looking for an experienced MLOps Engineer with strong expertise in machine learning engineering, cloud-based ML platforms, and AI/ML model deployment. The ideal candidate will be responsible for building scalable ML pipelines, automating model development ...
... versioning, and experiment tracking using Vertex AI and ML metadata tools.- Monitor ML systems for model drift, performance degradation, and cost optimization.- Collaborate with data engineering and data science teams to ensure seamless integration of ML pipelines into enterprise systems.- Apply MLOps best practices for model ...
... and responsibilities : - Architect Inference Infrastructure : Own the end-to-end performance of our LIP execution layer.- You will design and build highly scalable microservices that serve models, ensure predictive accuracy, and maintain a strict execution budget per request.- Engineer Real-Time Feature Streaming : Design, ...
We are looking for a dedicated and proficient Senior Systems Engineer with extensive Data DevOps/MLOps knowledge to enhance our team. The ideal candidate should possess a comprehensive knowledge of data engineering, data pipeline automation, and machine learning model operationalization. The role demands a cooperative professional ...